Built for lean startup teams shipping weekly
Swarm coordinates planner, coder, tester, and reviewer agents so startups can turn backlog tickets into review-ready pull requests without adding process overhead.
Inputs
Linear + GitHub
Execution
Planner → Coder → Tester → Reviewer
Workspace
Runs, planning, and dashboard in one app
Example run stream
ActivePlanner
Generated an implementation plan and execution order
Coder
Applied changes in the selected repository branch
Tester
Running validation and collecting test output
Reviewer
Preparing review feedback and follow-up actions
Latest artifact
Pull request opened with code changes, test summary, and reviewer notes.
Linear
GitHub App
Cloud Agents
Project Runs
Planning Chat
Integrations Dashboard
Provider Settings
Usage Analytics
Workflow
A practical loop for teams that need speed, focus, and consistent output.
Step 01
Connect an organization, pick a repo, and ingest issue metadata with dependencies.
Issue context + acceptance criteria
Step 02
Swarm builds a concrete execution plan before coding, so teams can inspect intent early.
Plan, files-to-touch, estimated effort
Step 03
Specialized agents execute in a controlled loop with retries for test failures and review issues.
Code changes + verification passes
Step 04
Swarm creates pull requests and captures a run history so teams can review changes with context.
PR, comments, and status stream
Core Product
Designed for small teams that need senior-level output from every cycle.
Swarm is built around speed with quality: plan, implement, verify, review, and submit. Each stage has a dedicated agent role and explicit handoff so startup teams can move faster without cutting corners.
Planner
Builds scoped tasks and execution order.
Coder
Implements code with repo conventions.
Tester
Runs checks and catches regressions early.
Reviewer
Reviews output and triggers revision loops.
Every execution emits machine-readable events that can be surfaced in run conversations and dashboard views so teams can stay aligned.
Step-level runtime status and duration tracking
Structured review artifacts attached to each run
Feedback-aware follow-up iterations when required
Capability
Single-issue runs and project DAG orchestration for larger delivery scopes.
Capability
Inline handling for review comments, with follow-up commits when changes are requested.
Capability
Granular event streams with step-level status, timing, and agent action context.
Capability
Workspace controls and configurable execution settings that keep velocity high.
Capability
Managed provider routing with role-based model selection per workflow step.
Capability
Cloud Agents, Planning, and Dashboard views keep execution and controls in one shared workspace.
Operating Modes
Start with one workflow, then expand as your team grows.
Trigger autonomous issue runs and follow every step from intake through review.
Execute a full Linear project as a coordinated run with explicit dependency ordering.
Move from planning to execution while managing integrations, models, and team settings.
Scaling controls
Swarm includes integration controls, member management, and run visibility so founders and engineering leads can trust automation from first launch through scale-up.
Open workspace settingsManage organizations and invite teammates with workspace-level permissions.
Connect and disconnect Linear and GitHub from one integrations page.
Select connected providers and configure which models run each AI step.
Track run activity and workspace token usage from the dashboard.
Status
What teams can use in Swarm today
Cloud issue runs
Create issue runs from connected Linear issues and GitHub repositories.
Project run orchestration
Execute Linear projects as dependency-aware pipelines with explicit failure handling.
Provider and model controls
Configure AI providers and model routing across planning and execution steps.
Run and usage analytics
Review run history and usage metrics from the dashboard workspace.